Summary
Tianran Wu is a Sr. Software Development Engineer with about a decade of experience bridging research-grade computer vision and production ML systems, currently optimizing machine learning operators for AMD NPUs. He holds an MSc from Osaka University and a PhD track record from Shanghai Jiao Tong, with research in HDR reconstruction, unsupervised video question answering, and network compression that informs his practical work on model efficiency. Tianran has shipped fraud and account-sharing detection pipelines at Hulu and camera HDR algorithms at Xiaomi, pairing C++, Python, PyTorch and Go with AWS, Docker and Linux for end-to-end deployment. He brings particular strength in squeezing neural networks for constrained hardware—an expertise gained through Huawei internships and academic projects—and applies it to NPU-centric operator libraries today. Fluent in English, native Chinese and JLPT-N2 Japanese, he works effectively across global teams based in Beijing. Colleagues value his blend of deep theoretical knowledge and hands-on optimization skills that turn research ideas into production-ready components.
10 years of coding experience
1 year of employment as a software developer
Master's degree, Information System Engineering, Master's degree, Information System Engineering at Osaka University
Bachelor's degree, Electrical and Electronics Engineering, 3.82/4.00, Bachelor's degree, Electrical and Electronics Engineering, 3.82/4.00 at Xidian University
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Shanghai Jiao Tong University
Chinese, English, Japanese